# 正确使用BeautifulSoup或xpath爬取相关数据

from bs4 import BeautifulSoup
import requests

url = "https://www.kanzhun.com/rank_p/?ka=index-icon-click"

ua = {'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/109.0.0.0 Safari/537.36'}

h = ["岗位", "薪资", "工作经验", "学历", "公司联系人", "联系人职位", "公司名称", "公司类型", "员工人数", "上市情况"]

try:
    req = requests.get(url, headers=ua)
    req.encoding = "utf-8"
    soup = BeautifulSoup(req.text, "html.parser")
except:
    print("网络地址错误或网络信号不佳")

divs = soup.findAll("div", {"class": "land-recruit-card_3pAuc"})

for div in divs:
    # 岗位
    occupation = div.find("a", {"class": "job-title"}).text
    print("岗位:" + occupation)
    # 薪资
    salari = div.find("div", {"class": "salary-info"}).text
    print("薪资:" + salari)
    # 工作经验
    job_experience = div.findAll("div", {"class": "boss-tag grey"})[0].text
    print("工作经验:" + job_experience)
    # 学历
    xueli = div.findAll("div", {"class": "boss-tag grey"})[1].text
    print("学历:" + xueli)
    # 公司联系人
    contact = div.find("div", {"class": "boss-tag border none"}).span.text.split("｜")
    print("公司联系人:" + contact[0])
    # 联系人职位
    print("联系人职位:" + contact[1])
    # 公司名称
    company_title = div.find("div", {"class": "info-text"}).h3.text
    print("公司名称:" + company_title)
    # 公司类型
    company_type = div.findAll("div", {"class": "boss-tag border"})
    print("公司类型:" + company_type[0].text)
    # 员工人数
    print("员工人数:" + company_type[1].text)
    # 上市情况
    print("上市情况:" + company_type[2].text)
    print("-----------------------------------")


